@InProceedings{FanoikiDrumSand:2010:CaReRe,
               author = "Fanoiki, Titilola O. and Drummond, Isabela and Sandri, Sandra 
                         Aparecida",
          affiliation = "Computer Vision and Artificial Intelligence MSc Program, 
                         Universitat Aut{\`o}noma de Barcelona, 08193 Bellaterra, Spain 
                         and {Universidade Federal de Itajub´a (UNIFEI)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Case-Based Reasoning Retrieval and Reuse Using Case Resemblance 
                         Hypergraphs",
            booktitle = "Proceedings...",
                 year = "2010",
                pages = "1 - 7",
         organization = "IEEE World Congress on Computational Intelligence, (WCCI).",
             keywords = "Case base, Case description, Case-based reasoning approaches, 
                         Classification tasks, Hyper graph, Problem space, Reuse process, 
                         Similarity relations, Solution space Engineering controlled terms: 
                         Artificial intelligence Engineering main heading: Case based 
                         reasoning.",
             abstract = "This work presents a similarity case-based reasoning approach in 
                         which clustering and similarity relations plays a central role in 
                         the retrieval and reuse processes. A set of cases will form a 
                         cluster when the similarity of the case in the solution space is 
                         at least as large as their similarity in the problem space. Our 
                         approach is composed of four steps: preparation of cases in the 
                         case base, creation of the sets of (eventually intersecting) 
                         clusters of cases in the case base, selection of the cluster whose 
                         case descriptions reach the highest overall similarity with the 
                         new case description, and computation of the solution for the new 
                         problem as a function of the solutions yielded by the individual 
                         cases in the selected cluster. Preliminary results obtained in a 
                         classification task shows that our approach is promising. © 2010 
                         IEEE.",
  conference-location = "Barcelona; 18 July 2010 through 23 July 2010;",
      conference-year = "18 - 23 July 2010",
                  doi = "10.1109/FUZZY.2010.5584854",
                  url = "http://dx.doi.org/10.1109/FUZZY.2010.5584854",
                 isbn = "978-142446920-8",
             language = "en",
           targetfile = "05584854.pdf",
        urlaccessdate = "21 maio 2024"
}